| 12456033 |
Multi-stream recurrent neural network transducer(s) |
Khe Chai Sim |
2025-10-28 |
|
| 12450518 |
Evaluating on-device machine learning model(s) based on performance measures of client device(s) and/or the on-device machine learning model(s) |
Dragan Zivkovic, Akash Agrawal, Tamar Lucassen |
2025-10-21 |
|
| 12417757 |
On-device speech synthesis of textual segments for training of on-device speech recognition model |
Johan Schalkwyk, Khe Chai Sim |
2025-09-16 |
|
| 12367865 |
Exploring heterogeneous characteristics of layers in ASR models for more efficient training |
Dhruv Guliani, Lillian Zhou, Andreas Kabel, Giovanni Motta |
2025-07-22 |
|
| 12347419 |
Unsupervised federated learning of machine learning model layers |
Khe Chai Sim, Johan Schalkwyk |
2025-07-01 |
|
| 12340799 |
Identifying and correcting automatic speech recognition (ASR) misrecognitions in a decentralized manner |
Rajiv Mathews, Rohit Prakash Prabhavalkar, Giovanni Motta, Mingqing Chen, Lillian Zhou +3 more |
2025-06-24 |
|
| 12272360 |
Using corrections, of automated assistant functions, for training of on-device machine learning models |
Rajiv Mathews, Dragan Zivkovic, Kurt E. Partridge, Andrew Hard |
2025-04-08 |
|
| 12260875 |
Phrase extraction for ASR models |
Ehsan Amid, Om Dipakbhai Thakkar, Rajiv Mathews |
2025-03-25 |
|
| 12205575 |
Mixed client-server federated learning of machine learning model(s) |
Andrew Hard, Swaroop Indra Ramaswamy, Om Dipakbhai Thakkar, Rajiv Mathews |
2025-01-21 |
|
| 12183321 |
Using corrections, of predicted textual segments of spoken utterances, for training of on-device speech recognition model |
Johan Schalkwyk, Giovanni Motta |
2024-12-31 |
$118,851,000 |
| 12169522 |
Structured video documents |
Johan Schalkwyk |
2024-12-17 |
$219,318,000 |
| 12126845 |
Ephemeral learning of machine learning model(s) |
Khe Chai Sim, Trevor Strohman, Oren Litvin |
2024-10-22 |
$118,222,000 |
| 12101106 |
Compression of data that exhibits mixed compressibility |
Giovanni Motta, Petr Zadrazil |
2024-09-24 |
$174,759,000 |
| 12014724 |
Unsupervised federated learning of machine learning model layers |
Khe Chai Sim, Johan Schalkwyk |
2024-06-18 |
$142,199,000 |
| 12014739 |
Using corrections, of automated assistant functions, for training of on-device machine learning models |
Rajiv Mathews, Dragan Zivkovic, Kurt E. Partridge, Andrew Hard |
2024-06-18 |
$142,199,000 |
| 11978432 |
On-device speech synthesis of textual segments for training of on-device speech recognition model |
Johan Schalkwyk, Khe Chai Sim |
2024-05-07 |
$112,500,000 |
| 11955134 |
Phrase extraction for ASR models |
Ehsan Amid, Om Dipakbhai Thakkar, Rajiv Mathews |
2024-04-09 |
$129,498,000 |
| 11842045 |
Modality learning on mobile devices |
Yu Ouyang, Diego Melendo Casado, Mohammadinamul Hasan Sheik, Dragan Zivkovic, Meltem Oktem |
2023-12-12 |
$79,228,000 |
| 11843397 |
Compression of data that exhibits mixed compressibility |
Giovanni Motta, Petr Zadrazil |
2023-12-12 |
$79,228,000 |
| 11817080 |
Using corrections, of predicted textual segments of spoken utterances, for training of on-device speech recognition model |
Johan Schalkwyk, Giovanni Motta |
2023-11-14 |
$88,633,000 |
| 11749261 |
Mixed client-server federated learning of machine learning model(s) |
Andrew Hard, Swaroop Indra Ramaswamy, Om Dipakbhai Thakkar, Rajiv Mathews |
2023-09-05 |
$82,703,000 |
| 11741953 |
Using corrections, of automated assistant functions, for training of on-device machine learning models |
Rajiv Mathews, Dragan Zivkovic, Kurt E. Partridge, Andrew Hard |
2023-08-29 |
$88,497,000 |
| 11705106 |
On-device speech synthesis of textual segments for training of on-device speech recognition model |
Johan Schalkwyk, Khe Chai Sim |
2023-07-18 |
$89,364,000 |
| 11573698 |
Neural network for keyboard input decoding |
Shumin Zhai, Thomas Breuel, Ouais Alsharif, Yu Ouyang, Johan Schalkwyk |
2023-02-07 |
$73,753,000 |
| 11545133 |
On-device personalization of speech synthesis for training of speech model(s) |
Johan Schalkwyk, Khe Chai Sim |
2023-01-03 |
$55,420,000 |
